Results 31 to 40 of about 2,490,590 (283)
Pupillary Responses to Faces Are Modulated by Familiarity and Rewarding Context
Brain Sciences, 2021 Observing familiar (known, recognisable) and socially relevant (personally important) faces elicits activation in the brain’s reward circuit. Although smiling faces are often used as social rewards in research, it is firstly unclear whether familiarity ...
Magdalena Matyjek +2 more
doaj +1 more source
An Improved Relevance Feedback in CBIR
CoRR, 2020 Relevance Feedback in Content-Based Image Retrieval is a method where the feedback of the performance is being used to improve itself. Prior works use feature re-weighting and classification techniques as the Relevance Feedback methods. This paper shows a novel addition to the prior methods to further improve the retrieval accuracy.
Subhadip Maji, Smarajit Bose
openaire +3 more sources
Journal of Intelligent Systems, 2018 The trademark registration process, apparent in all organizations nowadays, deals with recognition and retrieval of similar trademark images from trademark databases. Trademark retrieval is an imperative application area of content-based image retrieval.
Pinjarkar Latika +2 more
doaj +1 more source
Audio Retrieval Based on Manifold Ranking and Relevance Feedback
Tsinghua Science and Technology, 2015 An audio information retrieval model based on Manifold Ranking (MR) is proposed, and ranking results are improved using a Relevance Feedback (RF) algorithm. Timbre components are employed as the model's main feature.
Jing Qin, Xinyue Liu, Hongfei Lin
doaj +1 more source
Deep CNN Combined With Relevance Feedback for Trademark Image Retrieval
Journal of Intelligent Systems, 2018 Trademark recognition and retrieval is a vital appliance component of content-based image retrieval (CBIR). Reduction in the semantic gap, attaining more accuracy, reduction in computation complexity, and hence in execution time, are the major challenges
Pinjarkar Latika +2 more
doaj +1 more source
National Journal of Physiology, Pharmacy and Pharmacology, 2020 Background: The primary goal of medical education is to have competent physicians. Amidst the ongoing debates of clinical utility and relevance of the content of the traditional practical curriculum, there is an emergent need of restructuring the ...
Archana Dogra Chauhan +4 more
doaj +1 more source
A study of factors affecting the utility of implicit relevance feedback [PDF]
, 2005 Implicit relevance feedback (IRF) is the process by which a search system unobtrusively gathers evidence on searcher interests from their interaction with the system. IRF is a new method of gathering information on user interest and, if IRF is to be used
Ruthven, I. +2 more
core +5 more sources
Video information retrieval using objects and ostensive relevance feedback [PDF]
, 2004 In this paper, we present a brief overview of current approaches to video information retrieval (IR) and we highlight its limitations and drawbacks in terms of satisfying user needs.
Browne, Paul
core +3 more sources
FEBS Letters, EarlyView.Structural and biochemical characterisations show that the planar cell polarity (PCP) protein Inturned harbours a unique PDZ‐like domain that does not bind canonical PDZ‐binding motifs (PBMs) like that of another PCP protein Vangl2. In contrast, the apical‐basal polarity protein Scribble contains four PDZ domains that bind Vangl2, but one PDZ domain ...
Stephan Wilmes +4 more
wiley +1 more source
A Study of Word Bigrams for Pseudo-relevance Feedback in Information Retrieval [PDF]
Journal of Universal Computer ScienceTraditional information retrieval models mostly adopt a term independence assumption and are based on single terms or unigrams. Past efforts have attempted to go beyond this assumption, such as by using contiguous terms (i.e.
Edward Kai Fung Dang +2 more
doaj +3 more sources